Local Public Health Workers Research Articles

Exploring trends in benzodiazepine-positive fatal drug overdoses in Tennessee, 2019–2021

Background Benzodiazepine-positive overdoses increased between 2019 and 2021 in Tennessee. We sought to determine the changes in the number and characteristics of prescription and illicit benzodiazepine-positive fatal drug overdoses during this period. Materials and Methods A statewide study was conducted to determine changes in the number and characteristics of benzodiazepine-positive drug overdose decedents using 2019–2021 data from the Tennessee State Unintentional Drug Overdose Reporting System. The analyses were limited to Tennessee residents aged ≥ 18 years. A benzodiazepine-positive overdose was defined as any benzodiazepine on toxicology, regardless of the presence of other substances. Frequencies were generated to compare demographics, circumstances, prescription history, and toxicology between 2019 and 2021 for illicit and prescription benzodiazepine-positive fatal overdoses. Results Between 2019 and 2021, 1666 benzodiazepine-positive unintentional or undetermined fatal drug overdoses out of 5916 total overdoses that occurred among adult Tennessee residents with available toxicological information. Prescription benzodiazepines were identified in 80.7% of deaths, whereas illicit benzodiazepines were identified in 12.0% of deaths. Many decedents had an anxiety disorder (45.5%), while over half of all decedents had a history of substance use disorder (52.3%). Most benzodiazepine-positive overdoses involved fentanyl (71.3%). Conclusions This analysis can inform local and regional public health workers to implement focused prevention and intervention efforts for people with co-occurring mental health conditions and substance use disorders to curb overdose epidemics among persons using benzodiazepines in Tennessee. Public health campaigns should focus on educating people on appropriate prescription medication use and the dangers of obtaining substances illicitly. Given the high proportion of opioids in this population, further education also is needed on the dangers of polysubstance drug use. The differences between prescription and illicit benzodiazepine-positive fatal overdoses indicate the need to develop substance-specific prevention and treatment strategies.

Stewards of Society: Preparedness and Perceptions Among the Unsung Heroes of Public Health Service Delivery

Front-line public health workers are essential to protecting the health of the public, particularly during widespread public health emergencies. Local public health workers were instrumental in mitigating the spread of the coronavirus pandemic through their efforts to contract trace, disseminate tests and vaccines, and educate the public about the dynamic state of the crisis. Yet, reports indicate that the public health workforce has been shrinking for some time. Recent studies indicate more than one-quarter of those serving in public health roles hope to leave the profession within one year because of factors such as stress and burnout. Few studies examine the perceptions of local health workers or the impacts that multi-level governmental responses have on their ability to do their jobs. Having a strong public health workforce is essential for a thriving society, so addressing this gap and identifying solutions are important steps towards identifying solutions for slowing the exodus of public health workers from the field. Through analysis of original survey data of front-line workers mid-pandemic in two western states, this project examines perceptions regarding factors which contribute to added stress and burnout. Findings indicate that workers felt relatively prepared to address a public health crisis, but institutional factors, such as changing job responsibilities, competing governmental directives, and limited resources, may contribute to ongoing feelings of burnout. To address these concerns, decision makers need to provide more resources and have a clear strategy of communication to mitigate conflicting governmental directives.

Distress During the COVID-19 Pandemic Among Local Public Health Workers in New York State.

Understanding the challenges public health workers have faced is critical to reinforcing, revitalizing, and strengthening the public health workforce. We measured and identified the level and causes of psychological distress among public health workers during the COVID-19 pandemic in New York State. We used a knowledge, attitudes, beliefs, and behaviors survey to ask public health workers at local health departments about their experiences working in public health during the pandemic, including questions relating to harassment from the public, workload, and work/life balance. We used the Kessler-6 scale to measure participants' psychological distress using a 5-point Likert scale, with higher scores indicating greater psychological distress. We calculated descriptive statistics and conducted a regression analysis to determine the factors associated with public health worker psychological distress, and we coded open-ended comments for qualitative analysis. During September 7-20, 2021, 231 public health workers from 38 local health departments completed the survey. Respondents were predominantly non-Hispanic White (89.6%), female (82.1%), full-time employees (95.1%), and located in Upstate New York. On a bivariate level, the strongest predictor of distress was job satisfaction (-0.388), followed closely by COVID-19 fatigue (0.386) and feeling bullied or harassed by the public (0.331). In the regression analysis, 2 additional factors were associated with distress: considering leaving their job due to the pandemic and concerns about exposure. Themes from the qualitative analysis strongly supported these findings. Understanding the challenges public health workers have faced during the pandemic is critical to inform the actions needed-stronger state laws protecting against harassment, workforce incentives, and commensurate funding-to reinforce and revitalize our frontline public health workforce.

Characteristics of fatal drug overdoses among college age decedents in Tennessee, 2019-2020.

College age persons experienced unique disruptions to their regular lives during the COVID-19 pandemic, sometimes resulting in negative coping mechanisms. We examined changes in the number of and characteristics of college age fatal drug overdoses before and during the early COVID-19 pandemic. We conducted a statewide cross-sectional study to determine the changes in the number and characteristics of college age fatal drug overdose decedents before and during the COVID-19 pandemic using 2019-2020 data from the Tennessee State Unintentional Drug Overdose Reporting System. We defined college age as 18-24 years. Frequencies and rates were generated to compare demographics, circumstances, and toxicology between 2019 and 2020. From 2019 to 2020, 336 college age persons experienced an unintentional or undetermined fatal drug overdose in Tennessee. Characteristics of college age decedents: mean age 21.7 years, 68.5% males, and 71.4% White. Rates of fatal overdoses among college age persons increased 50.0% overall, 150.1% for female decedents, and 141.7% for Black decedents. Fewer people were treated for substance use disorder or mental health conditions (p = 0.0243) in 2020. This analysis can inform local and regional public health workers to implement focused prevention and intervention efforts to curtail the overdose epidemic among college age persons in Tennessee.

Workplace Violence and the Mental Health of Public Health Workers During COVID-19

During the COVID-19 pandemic, public health workers were at an increased risk for violence and harassment due to their public health work and experienced adverse mental health conditions. This article quantifies the prevalence of job-related threats, harassment, and discrimination against public health workers and measures the association of these incidents with mental health symptoms during the COVID-19 pandemic. A nonprobability convenience sample of state, local, and tribal public health workers completed a self-administered, online survey in April 2021. The survey link was emailed to members of national public health associations and included questions on workplace violence, demographics, workplace factors, and mental health symptoms. Mental health symptoms were measured using standardized, validated tools to assess depression, anxiety, post-traumatic stress disorder, and suicidal ideation. Multivariable Poisson models calculated adjusted prevalence ratios of mental health symptoms, with workplace violence as the primary risk factor. Analyses were conducted in 2021-2022. Experiencing any type or combination of workplace violence was significantly associated with an increased likelihood of reporting depression symptoms (prevalence ratio=1.21, 95% CI=1.15, 1.27), anxiety (prevalence ratio=1.21, 95% CI=1.15, 1.27), post-traumatic stress disorder (prevalence ratio=1.31, 95% CI=1.25, 1.37), and suicidal ideation (prevalence ratio=1.26, 95% CI=1.14, 1.38), after adjusting for confounders. A dose‒response relationship was found between the number of workplace violence events experienced by a public health worker and the likelihood of reporting mental health symptoms. Violence targeted at the public health workforce is detrimental to workers and their communities. Ongoing training, workplace support, and increased communication after a workplace violence incident may be helpful. Efforts to strengthen public health capacities and support the public health workforce are also needed.

Lessons Learned From the Public Health Workforce's Experiences With the COVID-19 Response

Limited research is available on the COVID-19 response experiences of local, state, and federal public health workers in the United States. Although the response to COVID-19 is still presenting challenges to the public health workforce, public health systems must also begin to consider lessons learned that can be applied to future disasters. During July and August 2021, a random sample of participants from a cross-sectional study of the public health workforce was invited to participate in interviews to obtain information on the current state of public health operations, the ongoing response to the COVID-19 crisis, and takeaways for improving future preparedness and response planning. Interviews were transcribed and inductively coded to identify themes. Twenty-four initial interview invitations were sent, and random substitutions were made until thematic saturation was reached when 17 interviews were completed. Four thematic categories were identified, including challenges related to (1) ongoing lack of political support or policy guidance; (2) fluctuations in, and uncertainty about, future funding and associated requirements; (3) job expectations, including remote work and data-sharing capabilities; and (4) the mental health toll of sustained response and related burnout. As the public health response to the COVID-19 pandemic continues in its third year, it is crucial to identify lessons learned that can inform future investment in order to sustain a public health workforce and a public health preparedness and response system that is resilient to future disasters.

Symptoms of Mental Health Conditions and Suicidal Ideation Among State, Tribal, Local, and Territorial Public Health Workers — United States, March 14–25, 2022

An increase in adverse mental health symptoms occurred in the general population at the onset of the COVID-19 pandemic, which peaked in 2020 and subsequently decreased (1-3). The pandemic exacerbated existing stress and fatigue among public health workers responding to the public health crisis.* During March-April 2021, a survey of state, tribal, local, and territorial (STLT) public health workers found that 52.8% of respondents experienced symptoms of at least one of the following mental health conditions: depression, anxiety, or posttraumatic stress disorder (PTSD) (4); however, more recent estimates of mental health symptoms among this population are limited. To evaluate trends in these conditions from the previous year, the prevalence of symptoms of mental health conditions and suicidal ideation, a convenience sample of STLT public health workers was surveyed during March 14-25, 2022. In total, 26,069 STLT public health workers responded to the survey. Among respondents,† 6,090 (27.7%) reported symptoms of depression, 6,467 (27.9%) anxiety, 6,324 (28.4%) PTSD, and 1,853 (8.1%) suicidal ideation. Although the prevalences of depression, anxiety, and PTSD among public health workers were lower (p<0.001)§ among 2022 survey respondents compared with those of 2021 survey respondents (4), the prevalences of symptoms of suicidal ideation, anxiety, depression, and PTSD remained high among those who worked >60 hours per week (range=11.3%-45.9%) and those who spent ≥76% of their work time on COVID-19 response activities (range=9.0%-37.6%). Respondents were less likely to report mental health symptoms if they could take time off (prevalence ratio [PR] range=0.48-0.55), or if they perceived an increase in mental health resources from their employer (PR range=0.58-0.84). To support the mental health of public health workers, public health agencies can modify work-related factors, including making organizational changes for emergency responses and facilitating access to mental health resources and services.¶.

The impact of traumatic experiences, coping mechanisms, and workplace benefits on the mental health of U.S. public health workers during the COVID-19 pandemic

PurposeTo evaluate the association between risk factors, mitigating factors, and adverse mental health outcomes among United States public health workers. MethodsCross-sectional online survey data were collected March to April 2021. The survey was distributed to public health workers who worked in a state, tribal, local, or territorial public health department since March 2020. ResultsIn total, 26,174 United States state and local public health workers completed the survey. Feeling isolated was a risk factor for anxiety (PR, 1.84; 95% CI, 1.74–1.95), depression (PR, 1.84; 95% CI, 1.75–1.94), post-traumatic stress disorder (PR, 1.50; 95% CI, 1.43–1.57), and suicidal ideation (PR, 3.23; 95% CI, 2.82–3.69). The ability to take time off was linked to fewer reported symptoms of anxiety (PR, 0.87; 95% CI, 0.83–0.90), depression (PR, 0.86; 95% CI, 0.83–0.89), post-traumatic stress disorder (PR, 0.84; 95% CI, 0.81–0.88), and suicidal ideation (PR, 0.84; 95% CI, 0.77–0.92). ConclusionsSince COVID-19 was declared a pandemic, respondents who felt isolated and alone were at an increased risk for adverse mental health outcomes. Findings from this study call for public health organizations to provide their workforce with services and resources to mitigate adverse mental health outcomes.

Symptoms of Depression, Anxiety, Post-Traumatic Stress Disorder, and Suicidal Ideation Among State, Tribal, Local, and Territorial Public Health Workers During the COVID-19 Pandemic — United States, March–April 2021

Increases in mental health conditions have been documented among the general population and health care workers since the start of the COVID-19 pandemic (1-3). Public health workers might be at similar risk for negative mental health consequences because of the prolonged demand for responding to the pandemic and for implementing an unprecedented vaccination campaign. The extent of mental health conditions among public health workers during the COVID-19 pandemic, however, is uncertain. A 2014 survey estimated that there were nearly 250,000 state and local public health workers in the United States (4). To evaluate mental health conditions among these workers, a nonprobability-based online survey was conducted during March 29-April 16, 2021, to assess symptoms of depression, anxiety, post-traumatic stress disorder (PTSD), and suicidal ideation among public health workers in state, tribal, local, and territorial public health departments. Among 26,174 respondents, 52.8% reported symptoms of at least one mental health condition in the preceding 2 weeks, including depression (30.8%), anxiety (30.3%), PTSD (36.8%), or suicidal ideation (8.4%). The highest prevalence of symptoms of a mental health condition was among respondents aged ≤29 years (range=13.6%-47.4%) and transgender or nonbinary persons (i.e., those who identified as neither male nor female) of all ages (range=30.4%-65.5%). Public health workers who reported being unable to take time off from work were more likely to report adverse mental health symptoms. Severity of symptoms increased with increasing weekly work hours and percentage of work time dedicated to COVID-19 response activities. Implementing prevention and control practices that eliminate, reduce, and manage factors that cause or contribute to public health workers' poor mental health might improve mental health outcomes during emergencies.

Symptoms of Depression, Anxiety, Post-Traumatic Stress Disorder, and Suicidal Ideation Among State, Tribal, Local, and Territorial Public Health Workers During the COVID-19 Pandemic - United States, March-April 2021.

Increases in mental health conditions have been documented among the general population and health care workers since the start of the COVID-19 pandemic (1-3). Public health workers might be at similar risk for negative mental health consequences because of the prolonged demand for responding to the pandemic and for implementing an unprecedented vaccination campaign. The extent of mental health conditions among public health workers during the COVID-19 pandemic, however, is uncertain. A 2014 survey estimated that there were nearly 250,000 state and local public health workers in the United States (4). To evaluate mental health conditions among these workers, a nonprobability-based online survey was conducted during March 29-April 16, 2021, to assess symptoms of depression, anxiety, post-traumatic stress disorder (PTSD), and suicidal ideation among public health workers in state, tribal, local, and territorial public health departments. Among 26,174 respondents, 53.0% reported symptoms of at least one mental health condition in the preceding 2 weeks, including depression (32.0%), anxiety (30.3%), PTSD (36.8%), or suicidal ideation (8.4%). The highest prevalence of symptoms of a mental health condition was among respondents aged ≤29 years (range=13.6%-47.4%) and transgender or nonbinary persons (i.e., those who identified as neither male nor female) of all ages (range=30.4%-65.5%). Public health workers who reported being unable to take time off from work were more likely to report adverse mental health symptoms. Severity of symptoms increased with increasing weekly work hours and percentage of work time dedicated to COVID-19 response activities. Implementing prevention and control practices that eliminate, reduce, and manage factors that cause or contribute to public health workers' poor mental health might improve mental health outcomes during emergencies.

Impact Evaluation of the Kenya Frontline Field Epidemiology Training Program: Repeated-Measures Study.

BackgroundIn 2014, Kenya’s Field Epidemiology and Laboratory Training Program (FELTP) initiated a 3-month field-based frontline training, Field Epidemiology Training Program (FETP-F), for local public health workers.ObjectiveThis study aimed to measure the effect of FETP-F on participant workplace practices regarding quality and consistency of public health data, critical interaction with public health data, and improvements in on-time reporting (OTR).MethodsBetween February and April 2017, FELTP conducted a mixed methods evaluation via online survey to examine outcomes achieved among all 215 graduates from 2014 and 2015. Data quality assessment (DQA) and data consistency assessment (DCA) scores, OTR percentages, and ratings of the training experience were the quantitative measures tracked from baseline and then at 6-month intervals up to 18 months postcompletion of the training. The qualitative component consisted of semistructured face-to-face interviews and observations. Quantitative data were analyzed using descriptive statistics and one-way analysis of variance (ANOVA). Qualitative data were transcribed and analyzed to identify key themes and dimensions.ResultsIn total, 103 (47%) graduates responded to the survey. Quantitative analyses showed that the training significantly increased the mean DQA and OTR scores but there was a nonsignificant increase in mean DCA scores. Qualitative analyses found that 68% of respondents acquired new skills, 83% applied those skills to their day-to-day work, and 91% improved work methods.ConclusionsFETP-F improved overall data quality and OTR at the agency level but had minimal impact on data consistency between local, county, and national public health agencies. Participants reported that they acquired practical skills that improved data collation and analysis and OTR.

Public Health Response to Tuberculosis Outbreak among Persons Experiencing Homelessness, Minneapolis, Minnesota, USA, 2017-2018.

Tuberculosis (TB) is a greater risk for populations experiencing homelessness. When a TB exposure occurs in a homeless shelter, evaluation of contacts is both urgent and challenging. In 2017, local public health workers initiated a response to a TB outbreak in homeless shelters in Minneapolis, Minnesota, USA. In this contact investigation, we incorporated multiple techniques to identify, evaluate, and manage patients, including the concentric-circle method to characterize amount of contact, identifying the most frequent sites of sporadic medical care, using electronic medical records, and engaging with medical providers treating this population. Of 298 contacts evaluated, 41 (14%) had latent TB infection and 2 had active TB disease. Our analysis indicated a significant relationship between duration of exposure and positive TB test result (p = 0.001). We encourage local public health departments to expand beyond traditional contact tracing techniques by leveraging partnerships and existing systems to reach contacts exposed in shelters.

Formative dialogue research - an appropriate strategy in community public health projects?

Abstract Background Lately, there has been a call for knowledge-based community public health strategies and for evaluating local public health interventions. In addition to contributing to the public health knowledge base, it is underlined that the evaluations should be formative for ongoing local processes. The community professionals often lack evaluation competency, and a university course (10 ECTS) about process- and self-evaluation has been developed and facilitated for local public health workers. Vestfold County Council and University of South-Eastern Norway have collaborated to develop the course. The course has a particular focus on Formative Dialogue Research (FDR). FDR strategies may emphasize both project impact and processes, and local competences. The FDR approaches also contributes to the public health knowledge base (Rønningen 2010). Objective To examine and discuss whether FDR in combinations with an evaluation course, may be an appropriate strategy to meet the new expectations for community public health evaluations. Results Preliminary results indicate that FDR in combination with a evaluation course, may be an appropriate and desirable approach in community public health projects. The local public health professionals welcome the course. The focus has until now been on the development of the course and the cooperation and dialogues between the university and the county. Questionnaire and interview data collected in September 2019 will exemplify and nuance these preliminary results. Conclusions So far, the developing process indicate that FDR in combination with a course in self- and process evaluation, support FDR as an appropriate evaluation approach in community public health projects and processes. Key messages The local public health workers often lack competences in project evaluation. FDR in combination with a comprehensive course in process and self-evaluation seem appropriate evaluation approaches in community public health projects.

The First Nationally Representative Benchmark of the Local Governmental Public Health Workforce: Findings From the 2017 Public Health Workforce Interests and Needs Survey.

Context:A changing public health landscape requires local governmental health departments (LHDs) to have a workforce prepared to meet complex challenges. While previous assessments looked at organizational data on the LHD workforce, the Public Health Workforce Interests and Needs Survey (PH WINS) is the first nationally representative survey to examine individual perceptions of training needs, workplace environment, job satisfaction, and awareness of emerging concepts in public health.Objectives:Characterize key interests and needs of the local governmental public health workforce.Design:Survey invitations were sent to individual LHD employees on the basis of a stratified sampling approach. The LHDs had to employ a minimum of 25 staff and serve a population of 25 000 or greater to be eligible for inclusion.Setting:399 LHDs across the United States.Participants:A total of 26 533 LHD employees completed the survey (59% response rate).Results:The majority of local public health workers are female (81%, 95% confidence interval [CI]: 78%-84%) and white non-Hispanic (68%, 95% CI: 64%-72%). Of the nearly quarter of workers who declared an intent to leave within the next year excluding retirement (22%, 95% CI: 19%-25%), the most common reasons included pay (46%, 95% CI: 42%-50%), lack of opportunities for advancement (40%, 95% CI: 38%-50%), and workplace environment (30%, 95% CI: 27%-32%). Across jurisdiction size and supervisory level, skills gaps were noted in budget and financial management, systems and strategic thinking, developing a vision for a healthy community, and change management.Conclusions:As the first nationally representative sample of the local governmental public health workforce, these data create a national benchmark against which LHDs can measure their workforce. Given the similarities found across LHDs serving different jurisdiction sizes, a unified approach to workforce development should be employed across all LHDs. The LHD leadership should address retention, reward creativity and innovation, improve communication between leadership and employees, and provide opportunities for advancement.

Measuring the Impact of Environment on the Health of Large Cities.

The relative significance of indicators and determinants of health is important for local public health workers and planners. Of similar importance is a method for combining and evaluating such markers. We used a recently developed index, the Urban Health Index (UHI), to examine the impact of environmental variables on the overall health of cities. We used the UHI to rank 57 of the world’s largest cities (based on population size) in low- and middle-income countries. We examined nine variables in various combinations that were available from the Demographic and Health Surveys conducted in these countries. When arranged in ascending order, the distribution of UHIs follows the previously described pattern of gradual linear increase, with departures at each tail. The rank order of cities did not change materially with the omission of variables about women’s health knowledge or childhood vaccinations. Omission of environmental variables (a central water supply piped into homes, improved sanitation, and indoor solid fuel use) altered the rank order considerably. The data suggest that environmental indicators, measures of key household level risk to health, may play a vital role in the overall health of urban communities.

Strengthening Public Health Management Capacity in Vietnam: Preparing Local Public Health Workers for New Roles in a Decentralized Health System.

Health sector decentralization has created an urgent need to strengthen public health management capacity in many countries throughout the developing world. This article describes the establishment of a national management training network in Vietnam that used Project-Based Learning to strengthen management competencies of HIV program workers and linked training to measurable improvement in HIV/AIDS public health program outcomes. Skills were taught using a combination of classroom learning and mentored fieldwork. From 2005 to 2015, 827 HIV/AIDS program managers were trained with this method throughout Vietnam by trainers in 3 regional training centers. A total of 218 applied learning projects were carried out by trainees during this period; 132 resulted in measurable improvements in HIV/AIDS program outputs, and 86 produced well-organized plans for implementing, monitoring, and evaluating HIV/AIDS intervention strategies. Vietnam's management training network represents an important advancement in public health workforce development that helps prepare workers for new roles and responsibilities in a decentralized health system.

Strengthening health systems in Africa: a case study of the Kenya field epidemiology training program for local frontline health workers

The logistical and operational challenges to improve public health practice capacity across Africa are well documented. This report describes Kenya’s Field Epidemiology and Laboratory Training Program’s (KFELTP) experience in implementing frontline public health worker training to transfer knowledge and practical skills that help strengthen their abilities to detect, document, respond to, and report unusual health events.Between May 2014 and May 2015, KFELTP hosted five training courses across the country to address practice gaps among local public health workers. Participants completed a 10-week process: two 1-week didactic courses, a 7-week field project, and a final 1-week course to present and defend the findings of their field project. The first year was a pilot period to determine whether the program could fit into the existing 2-year KFELTP model and whether this frontline-level training would have an impact on local practice. At the end of the first year, KFELTP certified 167 frontline health workers in field epidemiology and data management. This paper concludes that local, national, and international partnerships are critical for improving local public health response capacity and workforce development training in an African setting.

Leveraging the Niche of Open Data for Disease Surveillance and Health Education

ObjectiveTo visualize the incidence of notifiable infectious diseasesspatially and interactively, we aimed to provide a friendly interfaceto access local epidemic information based on open data for healthprofessionals and the public.IntroductionTransparency of information on infectious disease epidemicsis crucial for not only public health workers but also the residentsin the communities. Traditionally, disease control departmentscreated official websites for displaying disease maps or epi-curveswith the confirmed case counts. The websites were usually veryformal and static, without interaction, animation, or even the aid ofspatial statistics. Therefore, we tried to take advantage of open dataand use a lightweight programming language, JavaScript, to createan interactive website, named “Taiwan Infectious Disease Map(http://ide.geohealth.tw/)“. With the website, we expect to providereal-time incidence information and related epidemiological featuresusing interactive maps and charts.MethodsThis study used infectious-disease-related open data from Taiwan’sopen data platform (http://data.gov.tw) maintained by the TaiwanCDC. It covers 70 types of infectious diseases starting from 2004, andthe latest status is updated every day. We then automatically bridgethis data into our database and calculate the age-adjusted incidencerate by annual census data and 2000 WH0 standard population.The spatial resolution is mostly at the township level, except thatresolution for sexually-transmitted infectious diseases is at the citylevel. The temporal resolution is month and year, except for denguefever, which is by week.We used R software to automatically compute incidence everyday, and also used its package named “spdep” to compute the spatialclusters of the selected infectious diseases online. In addition, weused JavaScript language, PHP, OpenLayers 3 and Highcharts toimplement interactive maps and charts. All the data and graphicalfigures from the charts viewed in this website can be downloadedfreely. The temporal animation slider can be played and paused atany time point. The health education button can directly link to anintroduction to the selected infectious disease maintained by theTaiwan CDC.ResultsThe website of the Taiwan Infectious Disease Map is displayedin Figure 1. The users can select the temporal precision, types ofinfectious diseases, spatial precision and the gender at the beginning.In this case, the left map is the spatial distribution of the cumulativeincidence of tuberculosis (TB) in 2016. The darker red color representshigher incidence. The right top panel is the ranking of TB incidenceamong 368 townships. The right middle panel is the ranking of TBincidence among 22 cities or counties. The right bottom panel is theannual TB incidence from 2004 to the current date. The highest TBincidence was 67.47 per 100,000 in 2004, and this declined sharply to15.92 per 100,000 in 2015.ConclusionsWith this user-friendly web application, the public and localpublic health workers can easily understand the current risk for theirtownships. The application can provide relevant health education forthe public to understand diseases and how to protect themselves. Thespatial clusters, gender distribution, age distribution, epi-curve andtop ten infectious diseases are all practical and important informationprovided from this website to assist in preventing and mitigating nextepidemic.

Employer Requirements to Work during Emergency Responses: Key Ethics Considerations.

Local health departments and their employees are at the forefront of emergency preparedness and response. Yet, recent studies have found that some local public health workers are unwilling to report to work in a variety of disaster scenarios. This can greatly compromise a response, as many local health departments need "all hands on deck" to effectively meet increased demands. To address these concerns, local health departments have employed varied policy strategies to ensure that employees do report to work. After describing different approaches taken by local health departments throughout the United States, we briefly identify and explore key ethics considerations that arise for local health departments when employees are required to report to work for emergency responses. We then discuss how these ethics considerations may inform local health department practices intended to promote a robust emergency response.

Online platform for applying space-time scan statistics for prospectively detecting emerging hot spots of dengue fever.

BackgroundCases of dengue fever have increased in areas of Southeast Asia in recent years. Taiwan hit a record-high 42,856 cases in 2015, with the majority in southern Tainan and Kaohsiung Cities. Leveraging spatial statistics and geo-visualization techniques, we aim to design an online analytical tool for local public health workers to prospectively identify ongoing hot spots of dengue fever weekly at the village level.MethodsA total of 57,516 confirmed cases of dengue fever in 2014 and 2015 were obtained from the Taiwan Centers for Disease Control (TCDC). Incorporating demographic information as covariates with cumulative cases (365 days) in a discrete Poisson model, we iteratively applied space–time scan statistics by SaTScan software to detect the currently active cluster of dengue fever (reported as relative risk) in each village of Tainan and Kaohsiung every week. A village with a relative risk >1 and p value <0.05 was identified as a dengue-epidemic area. Assuming an ongoing transmission might continuously spread for two consecutive weeks, we estimated the sensitivity and specificity for detecting outbreaks by comparing the scan-based classification (dengue-epidemic vs. dengue-free village) with the true cumulative case numbers from the TCDC’s surveillance statistics.ResultsAmong the 1648 villages in Tainan and Kaohsiung, the overall sensitivity for detecting outbreaks increases as case numbers grow in a total of 92 weekly simulations. The specificity for detecting outbreaks behaves inversely, compared to the sensitivity. On average, the mean sensitivity and specificity of 2-week hot spot detection were 0.615 and 0.891 respectively (p value <0.001) for the covariate adjustment model, as the maximum spatial and temporal windows were specified as 50% of the total population at risk and 28 days. Dengue-epidemic villages were visualized and explored in an interactive map.ConclusionsWe designed an online analytical tool for front-line public health workers to prospectively detect ongoing dengue fever transmission on a weekly basis at the village level by using the routine surveillance data.